Table of Contents

  • 1  Description
  • 2  Imports
  • 3  Using plotly api in module bhishan
  • 4  Countplot
  • 5  Correlation Plot
  • 6  Boxplot
  • 7  Chart

Description¶

This is an example tutorial to use my module bhishan for the plotly extension for pandas.

Imports¶

In [1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

%load_ext autoreload
%load_ext watermark

%autoreload 2
%watermark -a "Bhishan Poudel" -d -v -m
%watermark -iv

Author: Bhishan Poudel

Python implementation: CPython
Python version       : 3.11.7
IPython version      : 8.20.0

Compiler    : MSC v.1937 64 bit (AMD64)
OS          : Windows
Release     : 10
Machine     : AMD64
Processor   : Intel64 Family 6 Model 141 Stepping 1, GenuineIntel
CPU cores   : 16
Architecture: 64bit

seaborn   : 0.13.0
pandas    : 1.5.3
numpy     : 1.26.3
matplotlib: 3.8.2
In [2]:
# my local library
import sys
from pathlib import Path
import platform

if platform.system() == 'Windows':
    p = Path("~/OneDrive - AmerisourceBergen(ABC)/bhishan").expanduser()
elif platform.system() == 'Darwin':
    p = Path.home() / "Dropbox/a00_Bhishan_Modules"
sys.path.append(str(p))
from bhishan import bp

Using plotly api in module bhishan¶

In [3]:
tips = sns.load_dataset('tips')
tips.head()
Out[3]:
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4

Countplot¶

In [4]:
tips.bp.plotly_countplot('day')

Correlation Plot¶

In [5]:
diamonds = sns.load_dataset('diamonds')
diamonds.bp.plotly_corr('price',topN=4)

C:\Users\a126291\OneDrive - AmerisourceBergen(ABC)\bhishan\bhishan\plot_plotly.py:434: FutureWarning:

The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.

Boxplot¶

In [6]:
titanic = sns.load_dataset('titanic')
titanic.bp.plotly_boxplot('age')

None

Chart¶

In [7]:
bp.show_methods(bp,contains='charts')
Out[7]:
0 1 2
0 Plotly_Charts
In [8]:
Chart = bp.Plotly_Charts(titanic, exclude=["pclass"], target="survived")
charts = Chart.make_charts()

HTML(value='<h1> Interactive Data Visualization using Plotly. </h1>')
Tab(children=(Output(), Output(), Output(), Output(), Output(), Output(), Output()), selected_index=0, titles=…